Pandas Profiling Report

Dataset statistics

Number of variables	10
Number of observations	683
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	46
Duplicate rows (%)	6.7%
Total size in memory	53.5 KiB
Average record size in memory	80.2 B

Variable types

Numeric	9
Categorical	1

Alerts

Dataset has 46 (6.7%) duplicate rows	Duplicates
`Clump Thickness` is highly correlated with `Uniformity of Cell Size` and 7 other fields	High correlation
`Uniformity of Cell Size` is highly correlated with `Clump Thickness` and 8 other fields	High correlation
`Uniformity of Cell Shape` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Marginal Adhesion` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Single Epithelial Cell Size` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Bare Nuclei` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Bland Chromatin` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Normal Nucleoli` is highly correlated with `Clump Thickness` and 8 other fields	High correlation
`Mitoses` is highly correlated with `Uniformity of Cell Size` and 2 other fields	High correlation
`Class` is highly correlated with `Clump Thickness` and 8 other fields	High correlation
`Clump Thickness` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Uniformity of Cell Size` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Uniformity of Cell Shape` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Marginal Adhesion` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Single Epithelial Cell Size` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Bare Nuclei` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Bland Chromatin` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Normal Nucleoli` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Class` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Clump Thickness` is highly correlated with `Uniformity of Cell Size` and 2 other fields	High correlation
`Uniformity of Cell Size` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Uniformity of Cell Shape` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Marginal Adhesion` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Single Epithelial Cell Size` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Bare Nuclei` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Bland Chromatin` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Normal Nucleoli` is highly correlated with `Uniformity of Cell Size` and 6 other fields	High correlation
`Mitoses` is highly correlated with `Class`	High correlation
`Class` is highly correlated with `Clump Thickness` and 8 other fields	High correlation
`Clump Thickness` is highly correlated with `Uniformity of Cell Size` and 7 other fields	High correlation
`Uniformity of Cell Size` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Uniformity of Cell Shape` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Marginal Adhesion` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Single Epithelial Cell Size` is highly correlated with `Clump Thickness` and 8 other fields	High correlation
`Bare Nuclei` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Bland Chromatin` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Normal Nucleoli` is highly correlated with `Clump Thickness` and 7 other fields	High correlation
`Mitoses` is highly correlated with `Single Epithelial Cell Size` and 1 other fields	High correlation
`Class` is highly correlated with `Clump Thickness` and 8 other fields	High correlation

Reproduction

Analysis started	2022-10-10 16:52:57.545908
Analysis finished	2022-10-10 16:53:03.798586
Duration	6.25 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Clump Thickness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.442166911

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.820761319
Coefficient of variation (CV)	0.6349966977
Kurtosis	-0.6331245309
Mean	4.442166911
Median Absolute Deviation (MAD)	2
Skewness	0.5876542361
Sum	3034
Variance	7.956694418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	139	20.4%
5	128	18.7%
3	104	15.2%
4	79	11.6%
10	69	10.1%
2	50	7.3%
8	44	6.4%
6	33	4.8%
7	23	3.4%
9	14	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	139	20.4%
2	50	7.3%
3	104	15.2%
4	79	11.6%
5	128	18.7%
6	33	4.8%
7	23	3.4%
8	44	6.4%
9	14	2.0%
10	69	10.1%

Value	Count	Frequency (%)
10	69	10.1%
9	14	2.0%
8	44	6.4%
7	23	3.4%
6	33	4.8%
5	128	18.7%
4	79	11.6%
3	104	15.2%
2	50	7.3%
1	139	20.4%

Uniformity of Cell Size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.150805271

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.065144856
Coefficient of variation (CV)	0.9728131675
Kurtosis	0.0736791399
Mean	3.150805271
Median Absolute Deviation (MAD)	0
Skewness	1.226404096
Sum	2152
Variance	9.395112987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	373	54.6%
10	67	9.8%
3	52	7.6%
2	45	6.6%
4	38	5.6%
5	30	4.4%
8	28	4.1%
6	25	3.7%
7	19	2.8%
9	6	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	373	54.6%
2	45	6.6%
3	52	7.6%
4	38	5.6%
5	30	4.4%
6	25	3.7%
7	19	2.8%
8	28	4.1%
9	6	0.9%
10	67	9.8%

Value	Count	Frequency (%)
10	67	9.8%
9	6	0.9%
8	28	4.1%
7	19	2.8%
6	25	3.7%
5	30	4.4%
4	38	5.6%
3	52	7.6%
2	45	6.6%
1	373	54.6%

Uniformity of Cell Shape
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.21522694

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.988580818
Coefficient of variation (CV)	0.929508515
Kurtosis	-0.01681562061
Mean	3.21522694
Median Absolute Deviation (MAD)	0
Skewness	1.157890012
Sum	2196
Variance	8.931615308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	346	50.7%
10	58	8.5%
2	58	8.5%
3	53	7.8%
4	43	6.3%
5	32	4.7%
7	30	4.4%
6	29	4.2%
8	27	4.0%
9	7	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	346	50.7%
2	58	8.5%
3	53	7.8%
4	43	6.3%
5	32	4.7%
6	29	4.2%
7	30	4.4%
8	27	4.0%
9	7	1.0%
10	58	8.5%

Value	Count	Frequency (%)
10	58	8.5%
9	7	1.0%
8	27	4.0%
7	30	4.4%
6	29	4.2%
5	32	4.7%
4	43	6.3%
3	53	7.8%
2	58	8.5%
1	346	50.7%

Marginal Adhesion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.830161054

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.86456219
Coefficient of variation (CV)	1.012155187
Kurtosis	0.9424072094
Mean	2.830161054
Median Absolute Deviation (MAD)	0
Skewness	1.509181064
Sum	1933
Variance	8.205716543
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	393	57.5%
3	58	8.5%
2	58	8.5%
10	55	8.1%
4	33	4.8%
8	25	3.7%
5	23	3.4%
6	21	3.1%
7	13	1.9%
9	4	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	393	57.5%
2	58	8.5%
3	58	8.5%
4	33	4.8%
5	23	3.4%
6	21	3.1%
7	13	1.9%
8	25	3.7%
9	4	0.6%
10	55	8.1%

Value	Count	Frequency (%)
10	55	8.1%
9	4	0.6%
8	25	3.7%
7	13	1.9%
6	21	3.1%
5	23	3.4%
4	33	4.8%
3	58	8.5%
2	58	8.5%
1	393	57.5%

Single Epithelial Cell Size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.234260615

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.223085456
Coefficient of variation (CV)	0.6873550777
Kurtosis	2.129639279
Mean	3.234260615
Median Absolute Deviation (MAD)	0
Skewness	1.703716401
Sum	2209
Variance	4.942108947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	376	55.1%
3	71	10.4%
4	48	7.0%
1	44	6.4%
6	40	5.9%
5	39	5.7%
10	31	4.5%
8	21	3.1%
7	11	1.6%
9	2	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	44	6.4%
2	376	55.1%
3	71	10.4%
4	48	7.0%
5	39	5.7%
6	40	5.9%
7	11	1.6%
8	21	3.1%
9	2	0.3%
10	31	4.5%

Value	Count	Frequency (%)
10	31	4.5%
9	2	0.3%
8	21	3.1%
7	11	1.6%
6	40	5.9%
5	39	5.7%
4	48	7.0%
3	71	10.4%
2	376	55.1%
1	44	6.4%

Bare Nuclei
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.54465593

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	6
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.64385716
Coefficient of variation (CV)	1.027986138
Kurtosis	-0.7988441354
Mean	3.54465593
Median Absolute Deviation (MAD)	0
Skewness	0.9900156547
Sum	2421
Variance	13.27769501
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	402	58.9%
10	132	19.3%
2	30	4.4%
5	30	4.4%
3	28	4.1%
8	21	3.1%
4	19	2.8%
9	9	1.3%
7	8	1.2%
6	4	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	402	58.9%
2	30	4.4%
3	28	4.1%
4	19	2.8%
5	30	4.4%
6	4	0.6%
7	8	1.2%
8	21	3.1%
9	9	1.3%
10	132	19.3%

Value	Count	Frequency (%)
10	132	19.3%
9	9	1.3%
8	21	3.1%
7	8	1.2%
6	4	0.6%
5	30	4.4%
4	19	2.8%
3	28	4.1%
2	30	4.4%
1	402	58.9%

Bland Chromatin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.445095168

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.449696573
Coefficient of variation (CV)	0.7110678959
Kurtosis	0.1676456428
Mean	3.445095168
Median Absolute Deviation (MAD)	1
Skewness	1.095270469
Sum	2353
Variance	6.001013297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	161	23.6%
2	160	23.4%
1	150	22.0%
7	71	10.4%
4	39	5.7%
5	34	5.0%
8	28	4.1%
10	20	2.9%
9	11	1.6%
6	9	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	150	22.0%
2	160	23.4%
3	161	23.6%
4	39	5.7%
5	34	5.0%
6	9	1.3%
7	71	10.4%
8	28	4.1%
9	11	1.6%
10	20	2.9%

Value	Count	Frequency (%)
10	20	2.9%
9	11	1.6%
8	28	4.1%
7	71	10.4%
6	9	1.3%
5	34	5.0%
4	39	5.7%
3	161	23.6%
2	160	23.4%
1	150	22.0%

Normal Nucleoli
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.869692533

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.052666407
Coefficient of variation (CV)	1.063760794
Kurtosis	0.4735882982
Mean	2.869692533
Median Absolute Deviation (MAD)	0
Skewness	1.420431124
Sum	1960
Variance	9.318772193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	432	63.3%
10	60	8.8%
3	42	6.1%
2	36	5.3%
8	23	3.4%
6	22	3.2%
5	19	2.8%
4	18	2.6%
7	16	2.3%
9	15	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	432	63.3%
2	36	5.3%
3	42	6.1%
4	18	2.6%
5	19	2.8%
6	22	3.2%
7	16	2.3%
8	23	3.4%
9	15	2.2%
10	60	8.8%

Value	Count	Frequency (%)
10	60	8.8%
9	15	2.2%
8	23	3.4%
7	16	2.3%
6	22	3.2%
5	19	2.8%
4	18	2.6%
3	42	6.1%
2	36	5.3%
1	432	63.3%

Mitoses
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.603221083

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	5
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.732674146
Coefficient of variation (CV)	1.080745609
Kurtosis	12.27337364
Mean	1.603221083
Median Absolute Deviation (MAD)	0
Skewness	3.511476241
Sum	1095
Variance	3.002159697
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	563	82.4%
2	35	5.1%
3	33	4.8%
10	14	2.0%
4	12	1.8%
7	9	1.3%
8	8	1.2%
5	6	0.9%
6	3	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	563	82.4%
2	35	5.1%
3	33	4.8%
4	12	1.8%
5	6	0.9%
6	3	0.4%
7	9	1.3%
8	8	1.2%
10	14	2.0%

Value	Count	Frequency (%)
10	14	2.0%
8	8	1.2%
7	9	1.3%
6	3	0.4%
5	6	0.9%
4	12	1.8%
3	33	4.8%
2	35	5.1%
1	563	82.4%

Class
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.5 KiB

2	444
4	239

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	683
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Most occurring characters

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	683	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	683	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	683	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	444	65.0%
4	239	35.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
0	5	1	1	1	2	1	3	1	1	2
1	5	4	4	5	7	10	3	2	1	2
2	3	1	1	1	2	2	3	1	1	2
3	6	8	8	1	3	4	3	7	1	2
4	4	1	1	3	2	1	3	1	1	2
5	8	10	10	8	7	10	9	7	1	4
6	1	1	1	1	2	10	3	1	1	2
7	2	1	2	1	2	1	3	1	1	2
8	2	1	1	1	2	1	1	1	5	2
9	4	2	1	1	2	1	2	1	1	2

Last rows

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
673	1	1	1	1	2	1	1	1	8	2
674	1	1	1	3	2	1	1	1	1	2
675	5	10	10	5	4	5	4	4	1	4
676	3	1	1	1	2	1	1	1	1	2
677	3	1	1	1	2	1	2	1	2	2
678	3	1	1	1	3	2	1	1	1	2
679	2	1	1	1	2	1	1	1	1	2
680	5	10	10	3	7	3	8	10	2	4
681	4	8	6	4	3	4	10	6	1	4
682	4	8	8	5	4	5	10	4	1	4

Most frequently occurring

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class	# duplicates
3	1	1	1	1	2	1	1	1	1	2	27
5	1	1	1	1	2	1	3	1	1	2	23
4	1	1	1	1	2	1	2	1	1	2	21
19	3	1	1	1	2	1	2	1	1	2	20
18	3	1	1	1	2	1	1	1	1	2	12
12	2	1	1	1	2	1	1	1	1	2	10
20	3	1	1	1	2	1	3	1	1	2	10
26	4	1	1	1	2	1	1	1	1	2	10
27	4	1	1	1	2	1	2	1	1	2	10
35	5	1	1	1	2	1	2	1	1	2	10

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
0	5	1	1	1	2	1	3	1	1	2
1	5	4	4	5	7	10	3	2	1	2
2	3	1	1	1	2	2	3	1	1	2
3	6	8	8	1	3	4	3	7	1	2
4	4	1	1	3	2	1	3	1	1	2
5	8	10	10	8	7	10	9	7	1	4
6	1	1	1	1	2	10	3	1	1	2
7	2	1	2	1	2	1	3	1	1	2
8	2	1	1	1	2	1	1	1	5	2
9	4	2	1	1	2	1	2	1	1	2

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
673	1	1	1	1	2	1	1	1	8	2
674	1	1	1	3	2	1	1	1	1	2
675	5	10	10	5	4	5	4	4	1	4
676	3	1	1	1	2	1	1	1	1	2
677	3	1	1	1	2	1	2	1	2	2
678	3	1	1	1	3	2	1	1	1	2
679	2	1	1	1	2	1	1	1	1	2
680	5	10	10	3	7	3	8	10	2	4
681	4	8	6	4	3	4	10	6	1	4
682	4	8	8	5	4	5	10	4	1	4

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class	# duplicates
3	1	1	1	1	2	1	1	1	1	2	27
5	1	1	1	1	2	1	3	1	1	2	23
4	1	1	1	1	2	1	2	1	1	2	21
19	3	1	1	1	2	1	2	1	1	2	20
18	3	1	1	1	2	1	1	1	1	2	12
12	2	1	1	1	2	1	1	1	1	2	10
20	3	1	1	1	2	1	3	1	1	2	10
26	4	1	1	1	2	1	1	1	1	2	10
27	4	1	1	1	2	1	2	1	1	2	10
35	5	1	1	1	2	1	2	1	1	2	10

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
0	5	1	1	1	2	1	3	1	1	2
1	5	4	4	5	7	10	3	2	1	2
2	3	1	1	1	2	2	3	1	1	2
3	6	8	8	1	3	4	3	7	1	2
4	4	1	1	3	2	1	3	1	1	2
5	8	10	10	8	7	10	9	7	1	4
6	1	1	1	1	2	10	3	1	1	2
7	2	1	2	1	2	1	3	1	1	2
8	2	1	1	1	2	1	1	1	5	2
9	4	2	1	1	2	1	2	1	1	2

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
673	1	1	1	1	2	1	1	1	8	2
674	1	1	1	3	2	1	1	1	1	2
675	5	10	10	5	4	5	4	4	1	4
676	3	1	1	1	2	1	1	1	1	2
677	3	1	1	1	2	1	2	1	2	2
678	3	1	1	1	3	2	1	1	1	2
679	2	1	1	1	2	1	1	1	1	2
680	5	10	10	3	7	3	8	10	2	4
681	4	8	6	4	3	4	10	6	1	4
682	4	8	8	5	4	5	10	4	1	4

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class	# duplicates
3	1	1	1	1	2	1	1	1	1	2	27
5	1	1	1	1	2	1	3	1	1	2	23
4	1	1	1	1	2	1	2	1	1	2	21
19	3	1	1	1	2	1	2	1	1	2	20
18	3	1	1	1	2	1	1	1	1	2	12
12	2	1	1	1	2	1	1	1	1	2	10
20	3	1	1	1	2	1	3	1	1	2	10
26	4	1	1	1	2	1	1	1	1	2	10
27	4	1	1	1	2	1	2	1	1	2	10
35	5	1	1	1	2	1	2	1	1	2	10

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
0	5	1	1	1	2	1	3	1	1	2
1	5	4	4	5	7	10	3	2	1	2
2	3	1	1	1	2	2	3	1	1	2
3	6	8	8	1	3	4	3	7	1	2
4	4	1	1	3	2	1	3	1	1	2
5	8	10	10	8	7	10	9	7	1	4
6	1	1	1	1	2	10	3	1	1	2
7	2	1	2	1	2	1	3	1	1	2
8	2	1	1	1	2	1	1	1	5	2
9	4	2	1	1	2	1	2	1	1	2

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class
673	1	1	1	1	2	1	1	1	8	2
674	1	1	1	3	2	1	1	1	1	2
675	5	10	10	5	4	5	4	4	1	4
676	3	1	1	1	2	1	1	1	1	2
677	3	1	1	1	2	1	2	1	2	2
678	3	1	1	1	3	2	1	1	1	2
679	2	1	1	1	2	1	1	1	1	2
680	5	10	10	3	7	3	8	10	2	4
681	4	8	6	4	3	4	10	6	1	4
682	4	8	8	5	4	5	10	4	1	4

	Clump Thickness	Uniformity of Cell Size	Uniformity of Cell Shape	Marginal Adhesion	Single Epithelial Cell Size	Bare Nuclei	Bland Chromatin	Normal Nucleoli	Mitoses	Class	# duplicates
3	1	1	1	1	2	1	1	1	1	2	27
5	1	1	1	1	2	1	3	1	1	2	23
4	1	1	1	1	2	1	2	1	1	2	21
19	3	1	1	1	2	1	2	1	1	2	20
18	3	1	1	1	2	1	1	1	1	2	12
12	2	1	1	1	2	1	1	1	1	2	10
20	3	1	1	1	2	1	3	1	1	2	10
26	4	1	1	1	2	1	1	1	1	2	10
27	4	1	1	1	2	1	2	1	1	2	10
35	5	1	1	1	2	1	2	1	1	2	10